Wanqian Pan, Chi Zhang, Xiaojiao Du, Xiong Su, Jia Lin, Tingbo Jiang, Weixiang Chen
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引用次数: 0
Abstract
Aims: Atrioventricular block (AVB) is a prevalent bradyarrhythmia. This study aims to investigate the causal effects of epigenetic aging, as inferred from DNA methylation profiles on the prevalence of AVB by Mendelian randomization (MR) analysis.
Methods: Genetic instruments for epigenetic aging and AVB were obtained from genome-wide association study data in the Edinburgh DataShare and FinnGen biobanks. Univariable and multivariable MR analyses were conducted to evaluate causal associations. Additionally, we employed sensitivity tests to assess the robustness of the MR findings.
Results: MR analysis showed that genetically predicted GrimAge acceleration was significantly associated with a higher risk of AVB (inverse variance-weighted: p = 0.010, 95% confidence interval (CI) = 1.024-1.196; weighted median: p = 0.031, 95% CI = 1.009-1.215). However, no evidence supported a causal relationship between AVB and epigenetic aging. The association between epigenetic aging and AVB was established using multivariate MR analysis after adjusting for various risk factors. Sensitivity analyses confirmed the reliability and robustness of the results.
Conclusion: Our findings suggest that epigenetic aging in GrimAge may increase the risk of AVB, emphasizing the importance of addressing epigenetic aging in strategies for AVB prevention.
期刊介绍:
Epigenomics provides the forum to address the rapidly progressing research developments in this ever-expanding field; to report on the major challenges ahead and critical advances that are propelling the science forward. The journal delivers this information in concise, at-a-glance article formats – invaluable to a time constrained community.
Substantial developments in our current knowledge and understanding of genomics and epigenetics are constantly being made, yet this field is still in its infancy. Epigenomics provides a critical overview of the latest and most significant advances as they unfold and explores their potential application in the clinical setting.